Demand oriented innovation indicators: Evidence-informed policy making

Aim

Current innovation indicators mainly focus on the input, throughput and output of innovation processes. Innovation policies follow this procedural and mostly linear perspective. This mostly resembles a science and innovation push perspective as compared to demand-pull approaches . Demand-side indicators – and based on this, demand-side policies – are so far rather scarce. One of the only exceptions, which is researched conceptually and partly empirically, is public procurement as a demand-supporting and demand-increasing leveraging tool. Public procurement offers an enormous potential for the diffusion of innovative products and services. Used strategically, it can help governments boost innovation at both the national and regional level and ultimately improve productivity and inclusiveness. This project aims at empirically operationalising public procurement data for demand-pull perspectives. It thereby builds on existing research work as well as publicly available data sources.

Beyond the public procurement data, additional indicators are examined and operationalised that help understand demand and diffusion processes. Among these potential indicators are further regulatory framework conditions (standards and norms, competition law or procurement law) as well as knowledge and qualification demand data (e.g. job offerings, open positions etc.). At the technological or market level, the preconditions for diffusion (according to Rogers 2003 [1962]) will be taken into account and operationalisations will be strived for.

Workflow and expected outcomes

  • Gather emerging open data sources from public procurements (bund.de, TED – Tenders Electronically Daily, etc.) and companies (Websites, Stepstone, Linked-In, ….) and making them accessible in a large scale.
  • Use data sources to obtain more complete and timely information about demand-oriented innovation indicators.
  • Develop indicators for demand-side and diffusion factors, based on the current – mostly conceptual – literature.
  • Automatic classification of procurement documents to identify innovation-friendly public procurements.
  • Examine further data sources for the implementation/operationalisation of demand-oriented indicators.
     
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Workflow – Analysis of TED Procurements